PhD Position in Scientific Machine Learning, Surrogate Modeling & Optimization

A PhD position is available in the research group of Assistant Professor Haifeng Wang at Washington State University, focusing on Scientific Machine Learning, Surrogate Modeling, and Optimization for complex engineering systems. The group’s research interests include developing advanced surrogate models and optimization algorithms, with applications in areas such as computer vision and hazard resilience. Candidates should be passionate about mathematics and capable of implementing algorithms from scratch, demonstrating strong technical skills in Python programming. Applicants are required to complete a preliminary coding challenge, which serves as a filter for technical fit. The challenge instructions can be downloaded from the provided link. The application must include a CV, transcripts, and coding solution files (.pdf and .ipynb), and be submitted via email to [email protected] following the strict subject line format. Applications that do not adhere to these instructions will not be considered. This opportunity is ideal for students interested in scientific machine learning, mathematical modeling, and optimization within engineering contexts. The position is based at Washington State University in the United States. Funding details are not specified in the announcement. For more information about the supervisor, see the provided LinkedIn profile.